code: def lp_encode(self, data):
      x = data.x
      for i in range(self.num_layer - 1):
          x = self.convs[i](x, data.edge_index)  # Jie
          if i != self.num_layer - 2:
              x = activate_func(x, self.args["act"])
              # x = F.dropout(x, p=self.args["dropout"], training=self.training)
      return x
  
file_path: AutoGL/autogl/module/model/pyg/gat.py
imports: import torch
  import torch.nn.functional
  from torch_geometric.nn import GATConv
  from .None import register_model
  from .base import BaseAutoModel, activate_func
  from ....utils import get_logger
label_desc: Use image node_id 3 for calling the GAT obj's underlying member method code with example usage: obj.lp_encode(data) and returns: x